Triple

T21288610
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Government Quarter E524727 entity
Predicate containsBuilding P14728 FINISHED
Object Høyblokka E128383 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Høyblokka | Statement: [Norwegian Government Quarter, containsBuilding, Høyblokka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Høyblokka
Context triple: [Norwegian Government Quarter, containsBuilding, Høyblokka]
  • A. Høyblokka chosen
    Høyblokka is a prominent modernist high-rise government office building in central Oslo, Norway, known for housing key parts of the Norwegian government.
  • B. Høybakken
    Høybakken is a small coastal village in Trøndelag county, Norway, situated within the municipality of Ørland.
  • C. Høylandet
    Høylandet is a rural municipality in Trøndelag county, Norway, known for its forested landscapes, agriculture, and small village communities.
  • D. Høybråten
    Høybråten is a Norwegian surname most notably associated with politician Dagfinn Høybråten.
  • E. Hodalen
    Hodalen is a small rural village in Tolga Municipality in Innlandet county, Norway, known for its scenic mountain and lake landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d882408190a2300327cb73b7f6 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980c3fbc8190aefe065a0d6cd8b5 completed May 17, 2026, 10:27 a.m.
Created at: April 16, 2026, 4:03 p.m.